Video Analytics That Reduce False Alarms and Add Intelligence
Raw video footage only tells you what happened after the fact. Video analytics turns a camera network into an active detection system — flagging intrusions, counting vehicles, reading license plates, and cutting the false-alarm rate that makes most monitoring desks tune out real events. Seven Sectors is the authorized partner in Saudi Arabia for two analytics platforms that solve this at different layers of the system: Milesight AI cameras with analytics built into the camera hardware, and ISS SecurOS analytics running at the VMS/server level.
Milesight AI Analytics (Edge-Based)
Milesight builds its analytics into the camera itself using TrueColor AI deep-learning processors, so detection happens at the edge before the stream ever reaches a server. The headline benefit for Saudi operations teams is a documented 95% reduction in false alarms compared to conventional motion detection — meaning fewer 2am callouts for blowing sand, headlights, or moving shadows on a perimeter fence.
Example Milesight AI Cameras
- Milesight MS-C2971-X23TPE – AI 23X PTZ Dome Network Camera
- Milesight MS-C6772-FIPE — AI fixed bullet with VCA analytics
- Milesight TS5366-X12RIPG1 – AI Road Traffic Pro Bullet Plus Camera for vehicle and LPR analytics
- Milesight PM3322-E – Indoor Parking Guidance LPR Camera
Browse the full range in our Milesight Cameras category.
ISS SecurOS Analytics (VMS-Based)
Where Milesight pushes intelligence to the camera, ISS SecurOS runs analytics centrally within the VMS — useful when you need to apply advanced analytics across cameras that weren’t purpose-built for AI, or when analytics needs to correlate events across many camera feeds at once:
- SecurOS Auto / Motus — license plate recognition (LPR) for vehicle tracking and gate control
- SecurOS FaceX — facial recognition and watchlist matching
- Behavior analytics — loitering, perimeter intrusion, crowd density, abandoned object detection
Full detail on our Video Management Software (VMS) page, and background reading: ISS SecurOS LPR & Face Analytics in Saudi Arabia and AI Video Analytics for Perimeter Detection on Saudi Sites.
Choosing Edge vs. VMS-Level Analytics
Most well-specified projects use both: Milesight AI cameras handle high-volume, camera-native detection (perimeter lines, people counting, vehicle classification) with minimal server load, while SecurOS applies LPR and facial recognition centrally where cross-camera correlation and watchlist matching matter — typical of the safe-city and command-center specifications increasingly required on Vision 2030 giga-project sites such as NEOM and Qiddiya. We help integrators map analytics requirements to the right layer before hardware is ordered, not after.
Where Video Analytics Connects
Analytics output is only useful if it’s recorded and searchable. Pair analytics-enabled cameras with our Surveillance Cameras range and route the metadata into SecurOS VMS, running on purpose-built storage and server infrastructure sized for analytics-heavy retention.
Get a Technical Recommendation
Tell us the detection use case — perimeter, LPR, facial watchlist, people counting — and we’ll recommend the right combination of Milesight edge analytics and SecurOS platform analytics for the site. Reach us via WhatsApp or our contact page.